AI Engineer / Data Scientist, AI Sr. Manager

Industry/Sector Not Applicable

Specialism

Assurance

Management Level

Senior Manager

Job Description & Summary

The Opportunity

As part of the AI Engineering team within the Digital Assurance & Technology team, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will focus on developing and implementing advanced AI and machine learning solutions to drive innovation and enhance business processes. Your work will involve designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. You will set direction and quality standards across work streams and teams for testing and evaluation of AI-enabled systems, technical evidence and control effectiveness, and reusable capabilities that support responsible, reliable AI deployment across multiple teams.

As a Senior Manager, you will leverage your skills and professional network to deliver quality results. You will motivate and coach others, collaborating to solve complex problems. With increased autonomy, you will apply sound judgment, recognizing when to take action and when to escalate. Your ability to develop and sustain diverse and inclusive teams, along with your commitment to excellence, contributes to the success of our firm.

In this role, you will lead large projects and innovate processes, focusing on achieving results and maintaining operational excellence. You will interact with clients at a strategic level, driving overall project success. Your influence and skills will be crucial in crafting clear, impactful messages and applying systems thinking to identify underlying problems and opportunities.

Responsibilities

- Leading the design and development of advanced AI and machine learning solutions to drive innovation and enhance business processes

- Transforming raw data into actionable insights to support informed decision-making and business growth

- Designing and optimizing algorithms, models, and systems for intelligent decision-making and automation

- Managing complex data analysis and integration to improve data quality and infrastructure

- Implementing data modeling techniques to support robust data solutions for clients

- Collaborating with teams to validate outcomes with clients and incorporate feedback into project development

- Directing teams through complex challenges, maintaining composure in ambiguous situations

- Initiating coaching conversations to develop and sustain high-performing, diverse, and inclusive teams

- Setting strategy and quality standards for evaluating AI system behavior, performance, robustness, bias, explainability, and failure modes.

- Establishing standards for reviewing technical controls and evidence, and documenting defensible findings, limitations, and recommendations.

- Directing the development of reusable evaluation tools, automated testing, reference datasets, monitoring capabilities, and evidence workflows across teams.

What You Must Have

- At least a Bachelor's degree

- At least 6 years of experience

What Sets You Apart

- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering

- Demonstrating advanced skills in AI implementation and complex data analysis

- Utilizing programming languages and data modeling for innovative solutions

- Excelling in managing data infrastructure and integration projects

- Applying deep learning and machine learning techniques effectively

- Leading teams through complex data-driven projects with strategic advising

- Leading cross-functional teams responsible for production AI deployment, monitoring, evaluation, and incident response

- Establishing rigorous evaluation standards covering failure modes, bias, drift, hallucinations, explainability, and guardrails

- Guiding architecture trade-offs and developing methods to measure and communicate technical and business outcomes across AI initiatives

- Translating technical findings, limitations, and architecture trade-offs for executive clients and non-technical stakeholders

- Developing technical leaders and managers across teams

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $119,000 - $299,930. For residents of Washington state the salary range for this position is: $119,000 - $337,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: more about how we work: only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.